Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/410148
Title: Designing Data Integration Model for Data Resource Systems
Researcher: Dave Saurabhkumar Amrutlal
Guide(s): Dr. S. M. Parikh
Keywords: Computer Science
Computer Science Interdisciplinary Applications
Engineering and Technology
University: Ganpat University
Completed Date: 2019
Abstract: Data integration is used to allow further manipulation of the data transparently throughout the different sources in and out of the different data resource systems. During the study of the various data resource system we have found the serious need of the data integration at various levels. newline newlineThis level could be peer to peer integration, centralised integration, web - xml data integration, cloud data integration, heterogeneous data integration, RDF data integration, e-governance project based data integrations, ERP s different data and module integration which include the personal information, product information, human resource information, payroll, relationship management information, stock management information throughout the different systems and geographically distributed systems etc. newline newlineIt is always a different kind of data heterogeneity is there in the system, which is caused by syntactic heterogeneity where in different programming languages are used for the modeling techniques of the different data sources. Another type of data heterogeneity is caused by the schematic heterogeneity where in the result is derived from the different structure of source of schemas at different levels and time, and the last one is semantic heterogeneity, this arises from the different sources which contains the instances of the meanings or interpretations of the data and structure. newline newlineThe key belief of the emerging data integration modeling is, it s different ontology most important the formal and explicit precise description of the shared conceptualization. It is used for the different ontologies and can result into the excellent data integration in different ways, this will include the mapping of the data using the data mapping, representation of the metadata and it s structure, formation of the query and execution of the query at the different levels especially at the high level, declaration of the mediation, global concept and structure mapping. newline newlineLooking at the main and important work done with this thesis, we have desi
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URI: http://hdl.handle.net/10603/410148
Appears in Departments:Faculty of Computer Applications

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